AI agents for manufacturing: our services & solutions

How to shift from automation to autonomy with agentic AI in manufacturing

Our AI agents rely on a combination of capabilities, empowering manufacturing teams to respond to deviations from standard operating procedures faster, define the optimal corrective action, and reduce risks related to production continuity.

Continuous operational monitoring

Process historical and real-time data, such as sensor streams, production logs, shift reports, operator notes, as well as images and videos captured by computer vision systems, to understand operational context and detect potential issues, such as abnormal equipment performance.

Data-driven decision-making

Perform automated root cause analysis for manufacturing anomalies and determine the optimal corrective action to maintain production continuity by evaluating production load, asset criticality, and operational constraints.

Controlled action execution

Act on the derived insights by planning and executing targeted measures, such as adjusting machine parameters, rerouting production to another line, and initiating maintenance requests and notifications via the CMMS.

Accelerate issue resolution and reduce operator workload with agentic AI in manufacturing
Contact us

Leverage AI agents for your manufacturing business

We create solutions for diverse agentic AI applications in manufacturing, facilitating efficient data analytics, decision-making, and autonomous action execution across the entire production lifecycle.

Production performance optimization

AI agents analyze fragmented data across manufacturing execution systems, ERP solutions, and PLCs to identify bottlenecks and root causes impacting production performance. If production falls behind schedule, the agent quickly determines whether the key drivers are equipment performance, material supply constraints, or workforce-related variability, and highlights where corrective actions will have the greatest impact on OEE and schedule adherence.

Quality control & defect prevention

Our agentic AI solutions optimize manufacturing quality control by processing inspection reports, in-process product data, and historical defect patterns to proactively forecast quality issues, ensuring compliance with quality standards and reduced waste. Our AI agents determine whether the problem stems from improper equipment calibration, incorrect execution of standard operating procedures (SOPs), or poor raw material quality and recommend corrective actions to prevent defect propagation. Where authorized, they automatically adjust machine settings or trigger defective part removal from the production line.

Equipment maintenance

We deploy AI agents for predictive maintenance that analyze real-time vibration and temperature data from sensors alongside historical equipment performance logs. This allows for early detection of component degradation or misalignment, enabling timely interventions that help prevent costly unplanned downtime. Our AI agents can provide relevant maintenance recommendations, draft work orders and spare parts requests, and optimize machine parameters or maintenance schedules to minimize production impact.

Shop floor orchestration

Manufacturing companies can streamline shift handovers with AI-generated briefing documents. Our agents consolidate information about production priorities, equipment status, and safety hazards to ensure consistent SOP execution and seamless team transitions. They can also verify the team’s readiness for changeovers by checking the availability of the required tooling and materials, as well as generate incident summaries and recommend the most efficient incident response actions.

Procurement decision guidance

Our AI agents automate procurement workflows by evaluating bill of materials (BOM) and supplier data. The system generates RFQ/RFP drafts and identifies the most cost-effective, low-risk sourcing options for supply chain diversification. Additionally, our AI agents can predict material demand or shortages, identify suppliers with appropriate lead times, and suggest adjustments to replenishment plans to prevent line stoppages.

Workforce support

Our AI agents streamline and perform employee onboarding, providing operators and engineers with explanations of SOPs and safety rules in simple language, enabling multilingual workforce assistance and document translation, creating role-specific learning paths, monitoring training progress of operators currently working on the line, and preventing access to the lines for employees without proper skills. Additionally, they can draft onboarding plans, generate short operator tests after process changes, and develop detailed reports on available skill sets.

Choose your AI agent’s autonomy level

To reduce operational risks and ensure AI agent predictability and reliability, we determine the optimal level of autonomy for each AI agent. We define who is authorized to validate agent decisions, establish clear approval workflows, and draw agent permission boundaries, implementing the following AI agent autonomy levels:

Assisted intelligence

An AI agent provides insights or suggests actions based on the processed data. Operators and engineers review outputs and act on the insights themselves.

Guided automation

Our AI-driven agent provides recommendations, explanations, and multiple ranked options and, in order to take action, requires supervision and validation from a designated person, such as an operator, shift lead, or engineer.

Controlled autonomy

The AI agent acts autonomously within defined boundaries to achieve the intended goal, adjusting schedules, rerouting tasks, or triggering specific workflows based on what’s happening in the moment.

Customer stories

We have a proven background of delivering AI agents for manufacturers, helping them streamline troubleshooting, accelerate decision-making, and improve operational efficiency.

18%

reduction in mean time to repair

Streamlined

equipment troubleshooting and maintenance
Service knowledge base assistant

Service knowledge base assistant

Itransition developed an AI-powered knowledge base assistant for a manufacturing company with complex production assets to help them troubleshoot technical issues more efficiently. The agent searches through manuals, schematics, service records, and technician notes, checking for previous similar incidents and how they were resolved, adds asset and failure context to incoming maintenance tickets, provides clear explanations of possible root causes of the issue, and assists in determining the next maintenance steps. Additionally, it drafts work orders, spare parts requests, escalation notes, and technician handovers and provides predictive maintenance recommendations based on equipment data analysis.

2.7 p.p.

increase in OEE

Democratized

access to production insights
Conversational AI ​for multi-system production data​ analysis

Conversational AI ​for multi-system production data​ analysis

Itransition’s team implemented a conversational AI solution to simplify interactions with production data for plant teams. The solution analyzes data from ERP, MES, and PLC systems and can answer questions, such as why the current shift is behind schedule or whether the next shift is ready to start. As a result, plant teams instantly receive answers in natural language that the system generates based on large volumes of production data spread across multiple systems.

What clients say about us

We are very grateful to Itransition for their contributions. [...] They offer a unique blend of expertise and experience, delivering innovative software solutions while speeding up time to market & optimizing ROI cycles.

Jim Roundtree

CFO, AiBUY

Itransition was able to quickly and easily capture our requirements and create a solution that worked for us. [...] We had great success with both our PoC projects as well as our initial implementation projects.

Jon Burkhart

Vice President of IT, Digitech Computer LLC

Over the course of our collaboration with Itransition, we were consistently impressed with both skill and dedication their team employed to fulfil our business needs. Itransition’s involvement extended beyond the technical realisation of the project, they acted as consultants, continuously helping us hone the project vision and suggesting approaches that would be best suited for the intricacies of our business.

Dr Sarah Melville

Media Director, YouGov Sport

Implementing AI agents in manufacturing: our service roadmap

We implement AI agents in manufacturing by following a clearly defined process, covering steps from business case development to solution deployment and user support, to ensure agent accuracy and alignment with end-user needs.

1

Business case development & KPIs definition

We analyze your current manufacturing processes, technical ecosystem, and business needs, define AI feasibility, determine the most suitable and urgent agentic AI use cases in manufacturing, and establish project KPIs.

2

Data audit & solution design

We assess existing data quality and availability, review data workflows, design the solution, and plan out the project, including its scope, stages, budget, and timeline.

3

Pilot solution development & integration

We develop a pilot solution to run in parallel with your existing processes without affecting them and benchmark agent outputs against human outputs to assess the solution’s accuracy.

4

Pilot solution monitoring & optimization

Our team measures pilot solution performance, gathers feedback from a group of early adopters, and optimizes the solution.

5

Deployment & post-launch support

We scale the final solution across manufacturing environments, provide user training and support, and assess project KPIs and the solution’s business impact. We continuously monitor solution performance, delivering necessary upgrades and optimizations over time.

How we establish a solid foundation for AI agents in manufacturing

We develop reliable and explainable AI agents, ensure their deep interoperability with manufacturing systems, and provide targeted workforce enablement support to make sure our solutions become an integral part of the established routine.

AI agent reliability

We equip our agents with fail-safe and fallback mechanisms to make sure they don’t cause operational disruptions in case of AI model errors, lack of data, or loss of connectivity. Our AI experts implement guardrails to make sure the AI agent complies with SOPs, work instructions, and safety rules enforced at a client’s factory.

Interoperability with existing systems

We integrate AI agents with your technical landscape, including PLC, MES, manufacturing ERP solutions, and legacy systems, through APIs, middleware, and other integration solutions to ensure a seamless data flow and provide agents with the context required to make informed conclusions.

AI explainability

Our manufacturing AI solutions are interpretable by design, logging every decision and autonomous action through audit trails and providing clear natural-language justifications so operators, engineers, and managers can figure out the “why” behind every system output.

Facilitated workforce adoption

We ensure smooth AI adoption by helping employees navigate new solutions and workflows. Our team provides comprehensive operator training, shift lead onboarding, and continuous user support to minimize resistance to change and maximize system utilization.

Get expert help to build efficient AI agents for manufacturing
Turn to us

About Itransition

Providing end-to-end AI services for 5+ years

Internal AI/ML Center of Excellence and R&D labs

Strategic partner of Microsoft and AWS

Holding an AI Platform on Microsoft Azure specialization

Global client base, from startups to Fortune 500 businesses

Recognized by Deloitte, Forrester Research, and Everest Group as one of the leading IT service providers

ISO 9001- and ISO/IEC 27001-certified, ensuring high service quality and robust data protection